Triple

T9508327
Position Surface form Disambiguated ID Type / Status
Subject Michelle Gisin E229326 entity
Predicate hasSibling P363 FINISHED
Object Dominique Gisin E43784 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dominique Gisin | Statement: [Michelle Gisin, hasSibling, Dominique Gisin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominique Gisin
Context triple: [Michelle Gisin, hasSibling, Dominique Gisin]
  • A. Dominique Gisin chosen
    Dominique Gisin is a Swiss alpine ski racer best known for winning the gold medal in the women's downhill at the 2014 Winter Olympics in Sochi.
  • B. Michelle Gisin
    Michelle Gisin is a Swiss alpine ski racer and Olympic champion known for her success in multiple World Cup disciplines.
  • C. Marie-José Clivaz
    Marie-José Clivaz is an educator and school leader best known for co-founding the international private school Collège du Léman in Switzerland.
  • D. Marc Gisin
    Marc Gisin is a Swiss former World Cup alpine ski racer known primarily as a speed specialist in downhill and super-G events.
  • E. Dominique Engerer
    Dominique Engerer was a renowned French classical pianist celebrated for her expressive interpretations and international concert career.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9855c5e48190a7d8d39b6d601679 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1820ed0c88190a91652965077755a completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:57 p.m.